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An Introduction to Neural Networks

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“Good-Old Fashioned Artificial Intelligence” successfully uses formal logic to solve a wide variety of problems, including knowledge representation, planning and learning. However, it encounters major difficulties when dealing with one of the most prevalent realities of our world: uncertaintly. We will introduce the statistical approach of neural networks, and explore its expressivity, ability to cope with incomplete or corrupted data, and powerful learning methods.

This talk is part of the Churchill CompSci Talks series.

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